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Automated Patient Safety Ordering System

Award Information
Agency: Department of Defense
Branch: Army
Contract: W81XWH-08-C-0754
Agency Tracking Number: O082-H03-3086
Amount: $99,774.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: OSD08-H03
Solicitation Number: 2008.2
Timeline
Solicitation Year: 2008
Award Year: 2008
Award Start Date (Proposal Award Date): 2008-09-30
Award End Date (Contract End Date): 2009-03-30
Small Business Information
12530 Parklawn Drive, Suite 470
Rockville, MD 20852
United States
DUNS: 099910788
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 William Kelley
 Principal Investigator
 (301) 581-3270
 wnkelly@earthlink.net
Business Contact
 Ken Reincke
Title: Contracts Manager
Phone: (719) 590-5224
Email: ken.reincke@cta.com
Research Institution
N/A
Abstract

This submission addresses the development of a Clinical Decision Support (CDS) capability designed to enhance medication safety when used in conjunction with existing and/or new Military Health Systems (MHS) Computerized Physician Order Entry (CPOE), Electronic Medical Record (EMR) and Pharmacy Data Transaction System (PDTS) capabilities. The envisioned CDS system will monitor HL7 messages and use a rule-based engine combined with data mining functionality to generate alerts that will facilitate: 1) drug reconciliations across the spectrum of care, 2) drug contraindication screening using patient-specific data; 3) monitoring for therapeutic failure associated with medications; 4) dosage checking; and 5) ensuring that corollary orders are written as needed. Patient-specific data to be included in dosing and corollary order-class rules include allergies, age, weight, GFR, liver functions, concomitant medications and co-morbidities. The CDS architecture will be “loosely coupled” to clinical data sources and applications facilitating the reuse of the capability with any existing Hospital Information System. The CDS will also incorporate powerful yet easy-to-use tools to tailor/create new rules manually as well as a feature to automate the importation of medication knowledge as best evidence evolves and changes from “Structured Product Labeling” standard-based descriptions routinely maintained and published by the Federal Drug Administration (FDA).

* Information listed above is at the time of submission. *

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